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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

A Coefficient Makes SVRG Effective ICLR 2025 A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks ICML 2025 A Combinatorial Approach to Neural Emergent Communication COLING 2025 A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD ICML 2025 A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates ACL 2025 A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds ICCV 2025 A Continuous-time Tractable Model for Present-biased Agents AAAI 2025 A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks AISTATS 2025 Acoustic-to-Hyper-Spectral: Hyper-Spectral Image Construction from Frequency Spectrums Through Simulated Annealing (Student Abstract) AAAI 2025 Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional ICML 2025 Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss ICML 2025 Active Bipartite Ranking with Smooth Posterior Distributions AISTATS 2025 Active feature acquisition via explainability-driven ranking ICML 2025 Active Fourier Auditor for Estimating Distributional Properties of ML Models AAAI 2025 Active Learning for Continual Learning: Keeping the Past Alive in the Present ICLR 2025 Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations ICML 2025 Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes ICML 2025 Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment ICML 2025 Active Treatment Effect Estimation via Limited Samples ICML 2025 ACT: Knowledgeable Agents to Design and Perform Complex Tasks ACL 2025 AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis AAAI 2025 AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge NAACL 2025 AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection ACL 2025 AdaDiff: Adaptive Step Selection for Fast Diffusion Models AAAI 2025 AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression AAAI 2025